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Aggregation Functions In Theory And In Practise
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Author :Humberto Bustince Sola Publisher :Springer Science & Business Media ISBN 13 :3642391656 Total Pages :552 pages Book Rating :4.6/5 (423 download)
Book Synopsis Aggregation Functions in Theory and in Practise by : Humberto Bustince Sola
Download or read book Aggregation Functions in Theory and in Practise written by Humberto Bustince Sola and published by Springer Science & Business Media. This book was released on 2013-06-20 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects the extended abstracts of 45 contributions of participants to the Seventh International Summer School on Aggregation Operators (AGOP 2013), held at Pamplona in July, 16-20, 2013. These contributions cover a very broad range, from the purely theoretical ones to those with a more applied focus. Moreover, the summaries of the plenary talks and tutorials given at the same workshop are included. Together they provide a good overview of recent trends in research in aggregation functions which can be of interest to both researchers in Physics or Mathematics working on the theoretical basis of aggregation functions, and to engineers who require them for applications.
Book Synopsis Aggregation Functions in Theory and in Practice by : Vicenç Torra
Download or read book Aggregation Functions in Theory and in Practice written by Vicenç Torra and published by Springer. This book was released on 2017-05-17 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).
Book Synopsis Aggregation Functions in Theory and in Practise by : Humberto Bustince
Download or read book Aggregation Functions in Theory and in Practise written by Humberto Bustince and published by Springer. This book was released on 2013-06-26 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects the extended abstracts of 45 contributions of participants to the Seventh International Summer School on Aggregation Operators (AGOP 2013), held at Pamplona in July, 16-20, 2013. These contributions cover a very broad range, from the purely theoretical ones to those with a more applied focus. Moreover, the summaries of the plenary talks and tutorials given at the same workshop are included. Together they provide a good overview of recent trends in research in aggregation functions which can be of interest to both researchers in Physics or Mathematics working on the theoretical basis of aggregation functions, and to engineers who require them for applications.
Book Synopsis New Trends in Fuzzy Set Theory and Related Items by : Esteban Indurain
Download or read book New Trends in Fuzzy Set Theory and Related Items written by Esteban Indurain and published by MDPI. This book was released on 2018-09-04 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "New Trends in Fuzzy Set Theory and Related Items" that was published in Axioms
Book Synopsis A Practical Guide to Averaging Functions by : Gleb Beliakov
Download or read book A Practical Guide to Averaging Functions written by Gleb Beliakov and published by Springer. This book was released on 2015-10-15 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.
Book Synopsis Modeling Decisions for Artificial Intelligence by : Vicenc Torra
Download or read book Modeling Decisions for Artificial Intelligence written by Vicenc Torra and published by Springer. This book was released on 2015-08-31 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.
Book Synopsis Data Science and Knowledge Engineering for Sensing Decision Support by : Jun Liu
Download or read book Data Science and Knowledge Engineering for Sensing Decision Support written by Jun Liu and published by World Scientific. This book was released on 2018-07-26 with total page 1624 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.
Book Synopsis Information Processing and Management of Uncertainty by : Anne Laurent
Download or read book Information Processing and Management of Uncertainty written by Anne Laurent and published by Springer. This book was released on 2014-07-17 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.
Book Synopsis Uncertainty Modelling in Knowledge Engineering and Decision Making by : Xianyi Zeng
Download or read book Uncertainty Modelling in Knowledge Engineering and Decision Making written by Xianyi Zeng and published by World Scientific. This book was released on 2016-07-14 with total page 1208 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions to the 12th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.
Book Synopsis Advances in Artificial Intelligence and Its Applications by : Félix Castro
Download or read book Advances in Artificial Intelligence and Its Applications written by Félix Castro and published by Springer. This book was released on 2013-11-22 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 8265 and LNAI 8266 constitutes the proceedings of the 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, held in Mexico City, Mexico, in November 2013. The total of 85 papers presented in these proceedings were carefully reviewed and selected from 284 submissions. The first volume deals with advances in artificial intelligence and its applications and is structured in the following five sections: logic and reasoning; knowledge-based systems and multi-agent systems; natural language processing; machine translation; and bioinformatics and medical applications. The second volume deals with advances in soft computing and its applications and is structured in the following eight sections: evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid intelligent systems; fuzzy systems; machine learning and pattern recognition; data mining; computer vision and image processing; robotics, planning and scheduling and emotion detection, sentiment analysis and opinion mining.
Book Synopsis Modeling Decisions for Artificial Intelligence by : Vicenç Torra
Download or read book Modeling Decisions for Artificial Intelligence written by Vicenç Torra and published by Springer. This book was released on 2014-10-23 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy.
Book Synopsis Interval-Valued Methods in Classifications and Decisions by : Urszula Bentkowska
Download or read book Interval-Valued Methods in Classifications and Decisions written by Urszula Bentkowska and published by Springer. This book was released on 2019-02-08 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making processes under incomplete or imprecise information. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for aggregation on interval-valued settings, and the most common properties of interval-valued aggregation operators. It then presents applications such as decision making using interval-valued aggregation, and classification in case of missing values. Interesting applications of the developed algorithms to DNA microarray analysis and in medical decision support systems are shown. The book is intended not only as a timely report for the community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect information.
Book Synopsis Adversarial Learning and Secure AI by : David J. Miller
Download or read book Adversarial Learning and Secure AI written by David J. Miller and published by Cambridge University Press. This book was released on 2023-08-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a logical framework for student learning, this is the first textbook on adversarial learning. It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust. To help students connect theory with practice, it explains and evaluates attack-and-defense scenarios alongside real-world examples. Feasible, hands-on student projects, which increase in difficulty throughout the book, give students practical experience and help to improve their Python and PyTorch skills. Book chapters conclude with questions that can be used for classroom discussions. In addition to deep neural networks, students will also learn about logistic regression, naïve Bayes classifiers, and support vector machines. Written for senior undergraduate and first-year graduate courses, the book offers a window into research methods and current challenges. Online resources include lecture slides and image files for instructors, and software for early course projects for students.
Book Synopsis Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century by : J. Watada
Download or read book Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century written by J. Watada and published by IOS Press. This book was released on 2023-09-11 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the turn of the century, geology has advanced dramatically, with materials derived from extra-terrestrial sources meaning that it now encompasses cosmology, and new technologies providing ever more sophisticated possibilities for the conducting of research. This book, Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century, aims to provide research directions for geology in the 21st century. As Eric Hobsbawm wrote, it is difficult to write the history of one’s own days, and selecting influential methods was no easy task, but an attempt has been made to include the most influential papers that represent the smart geology of the first few decades of the 21st century. The book presents 22 papers; the first serves as an introduction to biology, which is now expanding into the science of the cosmos following the discovery of previously missing information, and the remaining 21 papers are divided into 3 sections entitled Modelling, Simulation and Optimization. The importance of theoretical approaches from physics, mathematics, and statistics underlying meta-heuristic methods, knowledge and approaches is acknowledged, and there is a chapter dedicated to deep learning. The book contributes to the exploration of various possible solutions to challenging problems in both the Earth’s geology and that of the cosmos, and will be of interest to all those working in the field.
Book Synopsis Computer and Communication Engineering by : Miguel Botto-Tobar
Download or read book Computer and Communication Engineering written by Miguel Botto-Tobar and published by Springer. This book was released on 2019-01-22 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Conference on Computer and Communication Engineering, ICCCE 2018, held in Guayaquil, Ecuador, in October 2018. The 12 full papers presented were carefully reviewed and selected from 68 submissions. The papers deal with topics such as networking protocols and performance; software engineering; information systems; and computational intelligence. They are organized in the following topical headings: communications; and computer and software engineering.
Book Synopsis Technologies and Innovation by : Rafael Valencia-García
Download or read book Technologies and Innovation written by Rafael Valencia-García and published by Springer. This book was released on 2018-10-22 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th International Conference on Technologies and Innovation, CITI 2018, held in Guayaquil, Ecuador, in November 2018. The 21 full papers presented in this volume were carefully reviewed and selected from 64 submissions. They are organized in topical sections named: ICT in agronomy; software engineering; intelligent and knowledge-based systems; e-learning.
Book Synopsis An Introduction to Data Analysis using Aggregation Functions in R by : Simon James
Download or read book An Introduction to Data Analysis using Aggregation Functions in R written by Simon James and published by Springer. This book was released on 2016-11-07 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background. Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects. This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
